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Proceedings Paper

A technique for multi-dimensional optimization of radiation dose, contrast dose, and image quality in CT imaging
Author(s): Pooyan Sahbaee; Ehsan Abadi; Jeremiah Sanders; Marc Becchetti; Yakun Zhang; Greeshma Agasthya; Paul Segars; Ehsan Samei
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Paper Abstract

The purpose of this study was to substantiate the interdependency of image quality, radiation dose, and contrast material dose in CT towards the patient-specific optimization of the imaging protocols. The study deployed two phantom platforms. First, a variable sized phantom containing an iodinated insert was imaged on a representative CT scanner at multiple CTDI values. The contrast and noise were measured from the reconstructed images for each phantom diameter. Linearly related to iodine-concentration, contrast to noise ratio (CNR), was calculated for different iodine-concentration levels. Second, the analysis was extended to a recently developed suit of 58 virtual human models (5D-XCAT) with added contrast dynamics. Emulating a contrast-enhanced abdominal image procedure and targeting a peak-enhancement in aorta, each XCAT phantom was “imaged” using a CT simulation platform. 3D surfaces for each patient/size established the relationship between iodine-concentration, dose, and CNR. The Sensitivity of Ratio (SR), defined as ratio of change in iodine-concentration versus dose to yield a constant change in CNR was calculated and compared at high and low radiation dose for both phantom platforms. The results show that sensitivity of CNR to iodine concentration is larger at high radiation dose (up to 73%). The SR results were highly affected by radiation dose metric; CTDI or organ dose. Furthermore, results showed that the presence of contrast material could have a profound impact on optimization results (up to 45%).

Paper Details

Date Published: 31 March 2016
PDF: 8 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97833F (31 March 2016); doi: 10.1117/12.2216516
Show Author Affiliations
Pooyan Sahbaee, North Carolina State Univ. (United States)
Duke Univ. (United States)
Ehsan Abadi, Duke Univ. (United States)
Jeremiah Sanders, Duke Univ. (United States)
Marc Becchetti, Duke Univ. (United States)
Yakun Zhang, Duke Univ. (United States)
Greeshma Agasthya, Duke Univ. (United States)
Paul Segars, Duke Univ. (United States)
Ehsan Samei, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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